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Above-ground biomass estimation at tree and stand level for short rotation plantations of Eucalyptus nitens (Deane & Maiden) Maiden in Northwest Spain

机译:西班牙西北部桉树(Deane&Maiden)少女的短轮伐人工林的树木和林分水平地上生物量估算

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摘要

Above-ground allometric biomass and BEF equations were developed in Eucalyptus nitens crops, in age sequence from 2 to 5 years and tree density between 2300 and 5600 ha ~1 All models were fitted for crown, stem and total above-ground biomass at tree and stand level and explained a high percentage of data variability (R_(adj)~2 > 0.90). Biomass Expansion Factors (BEFs) were calculated for all categories and showed great variation, mainly for crown and total biomass. BEFs and stand-tree variable behaviour was analysed to develop BEF models to improve the predictions of constant BEF calculated here. Although all studied variables had significant relationships with BEF, dominant height showed the closest correlation with the crown and total biomass, the equations explaining 99% of biomass variability. Quadratic mean diameter, basal area and age were selected for the stem model. They explained more than 87% of the stem biomass variability. The comparison of the three approaches, biomass and BEF equations and constant BEFs, showed that biomass equations provided the most accurate predictions for stem and total components, followed by BEF equations. Constant BEFs proved the least accurate method for estimating biomass and only provided satisfactory results in relation to stem biomass. In contrast, for the crown component, BEF equations provided slightly more accuracy predictions than biomass equations. The best methodology for biomass production estimation depends on available resources and the level of required accuracy; however, our results suggest that constant BEF should be avoided whenever possible, at least for crown and total aerial biomass.
机译:在2至5年的年龄序列和2300至5600公顷〜1的树密度下,在桉树作物上建立了地上异体生物量和BEF方程。站立水平,并解释了很大一部分数据变异性(R_(adj)〜2> 0.90)。计算了所有类别的生物量膨胀因子(BEFs),并显示出很大的变化,主要是冠状和总生物量。分析了BEF和林木可变行为,以开发BEF模型,以改善此处计算的恒定BEF的预测。尽管所有研究变量均与BEF有显着关系,但优势高度显示出与冠顶和总生物量的最接近相关性,该方程式解释了99%的生物量变异性。为茎模型选择二次平均直径,基面积和年龄。他们解释了超过87%的茎生物量变异性。对三种方法(生物量和BEF方程以及常数BEF)的比较表明,生物量方程对茎和总成分提供了最准确的预测,其次是BEF方程。恒定BEF被证明是估算生物量的最不准确的方法,并且仅提供了与茎生物量相关的令人满意的结果。相反,对于树冠成分,BEF方程比生物量方程提供了更高的精度预测。估算生物量产量的最佳方法取决于可用资源和所需准确性的水平;但是,我们的结果表明,应尽可能避免使用恒定的BEF,至少对于树冠和总空中生物量而言。

著录项

  • 来源
    《Biomass & bioenergy》 |2013年第7期|147-157|共11页
  • 作者单位

    Sustainable Forest Management Area, Wood and Forest Research Technology Centre of Asturias (CETEMAS),Finca Experimental "La Mata" s, E-33820 Grado, Spain;

    Sustainable Forest Management Area, Wood and Forest Research Technology Centre of Asturias (CETEMAS),E-33820 Grado, Spain;

    Sustainable Forest Management Area, Wood and Forest Research Technology Centre of Asturias (CETEMAS),E-33820 Grado, Spain;

    Department of Organisms and Systems Biology, Polytechnic School of Mieres, University of Oviedo, E-33600 Mieres,Spain;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Above-ground biomass equations; Biomass expansion factor (BEF); Woody crops;

    机译:地上生物量方程;生物质膨胀因子(BEF);木本作物;

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